Artificial Intelligence in Healthcare for Medical students, Lerner College of Medicine
I developed the course to educate medical students on how to use artificial intelligence technologies to healthcare data.
Objectives of the course: The learning objectives of the course were to learn and understand how to use python programing language for medical research, understand the application of machine learning and deep learning algorithms on healthcare data, and to recognize and understand emerging technologies such as the Internet of Things, cloud computing, blockchain, and others.
Course outlines: The course consists of 4 modules, each one is about one month long with meetings once per week. The modules include: python programming, machine learning in healthcare, deep learning in healthcare, and emerging technologies. Students are expected to complete hands-on projects on publicly available clinical datasets. Target Audience: Medical Students of Lerner College of Medicine
Artificial Intelligence in Healthcare: Special Topic, Electrical Engineering School, Case Western Reserve University
I also developed the course to computer science and biomedical engineering students on how to use artificial intelligence technologies in healthcare.
Objectives of the course: The learning objectives of the course were to understand how to apply machine learning and deep learning algorithms to healthcare data, and to recognize and understand emerging technologies such as the Internet of Things, cloud computing, blockchain, and others and their impact and application in healthcare.
Course outlines: The course consists of 3 modules over 10 weeks. The modules include machine learning in healthcare, deep learning in healthcare, and emerging technologies. Students are expected to complete hands-on projects on publicly available clinical datasets. Target Audience: Computer science, biomedical engineering undergraduate Course start date and credits: September 2019, 10 weeks, 1 credit.